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CCS
2015
ACM

The Dropper Effect: Insights into Malware Distribution with Downloader Graph Analytics

8 years 7 months ago
The Dropper Effect: Insights into Malware Distribution with Downloader Graph Analytics
Malware remains an important security threat, as miscreants continue to deliver a variety of malicious programs to hosts around the world. At the heart of all the malware delivery techniques are executable files (known as downloader trojans or droppers) that download other malware. Because the act of downloading software components from the Internet is not inherently malicious, benign and malicious downloaders are difficult to distinguish based only on their content and behavior. In this paper, we introduce the downloader-graph abstraction, which captures the download activity on end hosts, and we explore the growth patterns of benign and malicious graphs. Downloader graphs have the potential of exposing large parts of the malware download activity, which may otherwise remain undetected. By combining telemetry from anti-virus and intrusion-prevention systems, we reconstruct and analyze 19 million downloader graphs from 5 million real hosts. We identify several strong indicators of m...
Bum Jun Kwon, Jayanta Mondal, Jiyong Jang, Leyla B
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where CCS
Authors Bum Jun Kwon, Jayanta Mondal, Jiyong Jang, Leyla Bilge, Tudor Dumitras
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